جست‌وجوی استاد و پژوهشگر

• Organizational Behavior
• Work Psychology
• Positive Psychology
• +۳ مورد دیگر

Prof. Dr. Gaye ATİLLA is a full Professor in the Department of Business Administration at Suleyman Demirel University's Faculty of Economics and Administrative Sciences. With a doctorate in Business Administration (2012) and extensive publication record, she specializes in workplace dynamics and psychological factors affecting organizational performance. Her academic credentials include: Licence in Business Administration, Dokuz Eylul University (2005) Licence in Musical Sciences, Dokuz Eylul University (1999) Master's in Business Administration, Suleyman Demirel University (2008) Doctorate in Business Administration, Suleyman Demirel University (2012) Her research centers on Organizational Behavior, Work Psychology, and Positive Psychology, with particular focus on leadership effectiveness, emotional intelligence mechanisms, and factors influencing job satisfaction. Her work consistently examines how psychological constructs like hope, self-efficacy, and mindfulness impact workplace outcomes across healthcare, banking, and hospitality sectors. Recent studies investigate organizational silence dynamics, work-family enrichment, and presenteeism in high-stress environments. Analysis of her 15 most recent publications reveals strong thematic continuity in exploring the interplay between individual psychological states and organizational phenomena. Her research predominantly employs mixed-methods approaches to examine workplace behavior in Turkish service industries, with growing international comparative studies. Key emerging trends include the mediating role of abusive supervision in work overload outcomes and the application of positive psychology principles to healthcare leadership. She has successfully supervised two doctoral students to completion in 2024: Öznur Parmaksız (focusing on organizational justice and knowledge sharing) and Özgür Günal (examining clinical leadership in healthcare settings). Her teaching portfolio spans core business disciplines including Organizational Behavior, Work Psychology, Strategic Management, and Positive Organizational Behavior at undergraduate and graduate levels.

Nick Arnostiمشاهده پروفایل

استادیار

• Market Design
• Resource Allocation
• Matching Theory
• +۵ مورد دیگر

Nick Arnosti is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Minnesota. Prior to joining the University of Minnesota, he was an assistant professor at Columbia Business School. His research focuses on market design, with particular emphasis on giving away social goods such as affordable housing, public school seats, hunting licenses, hiking permits, and discounted tickets to events. Dr. Arnosti received his PhD in Operations Research from Stanford University in 2016, where he was advised by Ramesh Johari and Paul Milgrom. He graduated from Williams College in 2011 with BAs in Mathematics and Computer Science. A native of Saint Paul, MN, he graduated from Saint Paul Central High School in 2007 and has returned to his hometown to pursue his academic career. His research primarily centers around the allocation of public goods through lotteries and waitlists. He studies systems for allocating affordable housing, procedures used by school districts to assign students to public schools, and similar mechanisms for organ donation waitlists, immigration visas, and less weighty applications like recreational resource allocation. His work combines theoretical analysis with practical applications to improve the efficiency and fairness of these allocation systems. Dr. Arnosti maintains an active research blog called "A Model World" where he shares insights on translating real-world scenarios into mathematical models, covering topics from market design to sports analytics. Analysis of Dr. Arnosti's publications reveals a consistent focus on market design and resource allocation problems. His work spans theoretical contributions to matching theory and practical applications in housing policy, school choice, and recreational resource management. A notable trend is his examination of lottery systems and their properties, as well as the development of mathematical models to understand and improve allocation mechanisms. His research often bridges economics, operations research, and computer science to address real-world policy questions. Dr. Arnosti has published in top journals including Operations Research, Management Science, American Economic Review, and Manufacturing and Services Operations Management. His work has been presented at leading conferences such as the ACM Conference on Economics and Computation (EC), Match Up, and WINE. His research on housing lotteries, school choice mechanisms, and recreational resource allocation demonstrates both theoretical rigor and practical relevance to public policy. His teaching appears to focus on market design and resource allocation, with course materials covering topics like Pareto Efficiency, Top Trading Cycles, Deferred Acceptance Algorithm, and affirmative action policies. He has developed comprehensive lecture materials on the engineering of public resource allocation systems, demonstrating his commitment to translating complex theoretical concepts into accessible educational content.

Mira Meziniمشاهده پروفایل

استاد

• Software development paradigms and tools
• Programming systems for reliable distributed software
• Automated software analysis
• +۳ مورد دیگر

Mira Mezini is a Professor of Computer Science at the Technical University of Darmstadt, Germany, leading the Software Technology Lab. She serves on steering committees, program committees, and editorial boards of top-tier conferences and journals. Her affiliations include the National Research Center for Applied Cybersecurity ATHENE and co-directorship of hessian.AI, the Hessian Center for Artificial Intelligence. Her research focuses on programming systems for reliable distributed software and AI, automated software analysis, and foundational code models. She has developed large-scale module concepts for adaptability, extensible programming languages, and intelligent software development environments that leverage web-based resources to generate programming rules and patterns. Specializes in software engineering Expert in programming language design Contribution to cybersecurity and AI Her recent work emphasizes static analysis, distributed systems, and programming language design, with trends in API misuse detection, decentralized applications, and secure local-first programming. The focus spans from foundational type systems to practical tools enhancing software quality and developer productivity. Scientific Awards Two-time IBM Eclipse Innovation Award recipient (2005, 2006) Google Research Award (2017) Horst Görtz IT Security Award (2014) ERC Advanced Grant (2012) ACM Fellow Dahl-Nygaard Prize (2025) She has held leadership roles including Dean of Computer Science at TU Darmstadt (2013-2014) and Vice President positions (2014-2019). Her service extends to international juries, funding panels, and editorial boards. Labs & Teams Leads the Software Technology Lab at TU Darmstadt, driving research in programming paradigms and tools. Co-directs hessian.AI and contributes to the Excellence Cluster 'Reasonable Artificial Intelligence.'

• Pediatric Surgery
• Hepatobiliary Surgery
• Pediatric Surgical Oncology
• +۳ مورد دیگر

Zachary J. Kastenberg, MD, MS, is a pediatric surgeon and Assistant Professor of Surgery at the University of Utah School of Medicine. He specializes in general, thoracic, and neonatal surgery with a focus on advanced minimally invasive techniques. His clinical work at Primary Children’s Hospital includes collaborative care for pediatric surgical oncology and hepatobiliary conditions alongside oncologists, gastroenterologists, and transplant teams. B.S. in Biology, University of Minnesota M.D. from Harvard Medical School M.S. in Health Services Research, Stanford University Residency and Chief Residency in General Surgery, Stanford University Clinical Fellowship in Pediatric Surgery, Primary Children’s Hospital/University of Utah Dr. Kastenberg’s research bridges clinical practice and health services, targeting surgical care efficiency and outcomes in pediatric populations. His recent studies examine trauma management, liver transplantation, and oncological interventions, reflecting his commitment to advancing pediatric surgical protocols. He actively participates in national societies (ACS, APSA, AAP, COG) and contributes to multidisciplinary guidelines for Ewing sarcoma treatment. His scientific accolades include Fellowships in the American College of Surgeons (FACS) and American Academy of Pediatrics (FAAP). Dr. Kastenberg educates medical students and surgical residents, ensuring knowledge dissemination in his field.

Ratul Mahajanمشاهده پروفایل

دانشیار

• Cloud Computing
• Computer Networking
• Formal Methods
• +۷ مورد دیگر

Ratul Mahajan is an Associate Professor at the University of Washington's Paul G. Allen School of Computer Science & Engineering. He serves as Co-director of the UW Center for the Future of Cloud Infrastructure (FOCI) and holds the position of Amazon Scholar at AWS. Previously, he was the Co-founder and CEO of Intentionet, a company pioneering intent-based networking and network verification, and a Principal Researcher at Microsoft Research. His research spans multiple areas within computer systems with a networking focus, including network verification, connected homes, network programming, optical networks, Internet routing and measurements, and mobile systems. His work has resulted in over fifty publications in top venues such as SIGCOMM, SOSP, MobiCom, CHI, and PLDI, with many technologies developed in his research being implemented in real-world systems at Microsoft and other companies. His recent publications demonstrate a strong trend toward practical network verification and application networking, with increasing focus on cloud infrastructure, microservices architectures, and formal methods for network configuration analysis. His work bridges theoretical formal methods with practical networking challenges, resulting in tools that have been adopted in industry settings. His scientific achievements have been recognized with numerous prestigious awards: ACM Distinguished Scientist ACM SIGCOMM Rising Star Microsoft Research Graduate Fellow ACM SIGCOMM Test-of-Time Award IEEE William R. Bennett Prize Two ACM SIGCOMM Best Paper Awards HVC Best Paper Award Best Dataset Award Professionally active in the networking community, Mahajan has served as PC chair for SIGCOMM 2020, NSDI 2014, IMC 2012, MobiArch 2011, and HotNets 2009, among others. He has been a PC member for numerous top conferences including SIGCOMM, NSDI, OSDI, and IMC across multiple years. He served on the IMC Steering committee from 2014-2018 and was Associate editor for IEEE/ACM ToN from 2012-2014. He leads research at the Computer Systems Lab and co-directs the UW Center for the Future of Cloud Infrastructure (FOCI), where his team develops practical solutions for network verification, cloud infrastructure, and next-generation networking technologies. His work at Intentionet and Microsoft Research demonstrates strong industry impact, with several technologies transitioning from research to real-world deployment.

Martin Hartungمشاهده پروفایل

پژوهشگر

• Conversation Analysis
• Corpus Linguistics
• Applied Linguistics
• +۳ مورد دیگر

Dr. Martin Hartung is a researcher at the Institut für Deutsche Sprache (IDS) in Mannheim, specializing in conversation analysis and applied linguistics. He leads projects such as the Archive for Spoken German (AGD), the Conversation Analysis Information System (GAIS), and the Research and Teaching Corpus of Spoken German (FOLK). His doctoral work (University of Freiburg, 1997) focused on irony in everyday language. Hartung has held roles as a research assistant, freelance consultant, and editor for conversation research journals. He actively contributes to projects on call center communication optimization and publishes on methodological applications of linguistic research in practical settings. Education: PhD in Linguistics (1997), University of Freiburg Key Roles: Head of AGD, GAIS, and FOLK projects; Editor of 'Conversation Research' journal His research emphasizes applying scientific methods to real-world communication challenges, with a focus on interactional dynamics and multimodal communication. He also serves as webmaster for the Portal Conversation Research and chairs the Publishing House for Conversation Research.

Colette Ramseyمشاهده پروفایل

پژوهشگر

• Mental Health
• Suicide Prevention
• Peacebuilding
• +۴ مورد دیگر

Colette Ramsey is a Researcher at the University of Ulster, affiliated with the School of Psychology within the Faculty of Life & Health Sciences. She holds an ORCID identifier (https://orcid.org/0000-0002-8258-3400) and can be reached at c.ramsey@ulster.ac.uk. Her research focuses on mental health, suicide prevention, trauma-informed approaches, and digital interventions for youth resilience. She collaborates on projects like the 'Our Generation' app, designed to foster resilience and self-awareness in young people through gamification and co-design methodologies. Key research interests include mitigating suicide risk in higher education settings, integrating trauma-informed practices into peacebuilding programs, and leveraging technology to address adverse childhood experiences. She participates in interdisciplinary initiatives such as the Connecting Suicide and Self-Harm Research on the Island of Ireland (C-SSHRI) advisory group and the Protect Life 2 – Achieving Evidence and Best Practice Advisory Group. Recent work emphasizes translating research into actionable guidelines, such as suicide prevention protocols for universities and trauma-informed youth programs. Her projects often involve collaboration with institutions in Ireland and the UK, focusing on community education and youth development. Colette has contributed to systematic reviews on implementing suicide prevention strategies in mental health services and analyzing helpline caller behaviors to improve crisis interventions. Her activities include presenting at conferences like the Early and Mid-Career Researchers Forum at Glasgow University, where she discusses research methodologies and outcomes. Grants and collaborations center on developing evidence-based solutions for mental health challenges in vulnerable populations.

Viktoria Pammer-Schindlerمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Educational Technology (EdTech)
• AI in Education
• +۷ مورد دیگر

Assoc. Prof. Viktoria Pammer-Schindler is an Associate Professor in Human-Computer Interaction (HCI) and Educational Technology (EdTech) at Graz University of Technology. She is Deputy Head of the Institute of Human-Centred Computing and a research area head at the Know-Center. Her work focuses on interactive AI for productivity, learning, and socio-technical systems design. She teaches courses such as 'Designing Interactive Systems' and 'Conversational Systems,' and has received recognition for teaching excellence. Her research spans language-based interaction, workplace learning, and ethical AI, with over 50 peer-reviewed publications. She actively serves in roles like Special Issue Editor for IEEE Transactions on Technologies for Learning and President of the International Alliance to Advance Learning in the Digital Era. Affiliations: Graz University of Technology (Institute of Human-Centred Computing), Know-Center Research Areas: HCI, EdTech, AI ethics, conversational agents, workplace learning analytics, and socio-technical systems Her awards include the 2023 Outstanding Paper Award at Bled eConference and multiple teaching nominations. She advises over 20 graduate students and leads projects funded by national and EU grants. Current research explores generative AI in creativity, voice-based interaction, and ethics in professional learning technologies. She has supervised impactful theses on topics like GenAI for creative collaboration and AI-enabled environments for well-being. Her work bridges theory and practice through field studies in call centers, apprenticeships, and SMEs, emphasizing user-centered design principles.

Jiwon Jungمشاهده پروفایل

استادیار

• Digital Health
• Data-Driven Design
• Machine Learning in Healthcare
• +۳ مورد دیگر

Jiwon Jung is an Assistant Professor at TU Delft's Faculty of Industrial Design Engineering and holds a parallel role as Assistant Professor in Surgery at Erasmus MC. Her research focuses on advancing data-driven design methodologies for digital health, particularly leveraging machine learning to analyze large-scale patient experiences. She developed the Patient Community Journey Mapping tool to transform healthcare design through community-level data insights. Key collaborations include projects with Erasmus MC on cardiology and oncology patient pathways, supported by grants from Convergence Open Mind Call and NWO. Current initiatives include the Consultation Room 2030 project addressing future healthcare systems. Her work bridges design, data science, and clinical medicine to improve patient-centered care. Research Areas: Digital health, machine learning applications, healthcare system design Tools Developed: Patient Community Journey Mapping framework Grants: Convergence Open Mind Call, NWO Take-off Phase 1 Publications emphasize interdisciplinary approaches to healthcare challenges, with recent work exploring clinician-AI interaction needs and colorectal cancer patient experiences. She advises startups like Qaring to translate research into practical tools.

Ger Kooleمشاهده پروفایل

استاد

• Operations Research
• Optimization
• Queueing Theory
• +۵ مورد دیگر

Prof. Ger Koole is a Full Professor of Mathematics at the Faculty of Science, Vrije Universiteit Amsterdam. His research focuses on Operations Research, Optimization, Queueing Theory, and their applications in healthcare, hospitality, and call center management. He has supervised 24 PhD theses and authored over 111 peer-reviewed articles. He teaches courses such as Dynamic Programming and Reinforcement Learning, Optimization of Business Processes, and Project Optimization. His ancillary roles include directorships at Matière BV, CCmath bv, and Stichting Vierkant voor Wiskunde. Key research interests include call center optimization, revenue management, anomaly detection in manufacturing, and healthcare logistics. Recent work explores exposure effects in recommender systems, transfer learning, and data-driven market segmentation. Awards: No explicit scientific awards mentioned. However, his work aligns with UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (Goal 9) and Responsible Consumption (Goal 12). Grants/Advising: Extensive contributions to industry-academia collaborations through his ancillary activities. Active in supervising students and managing research projects in applied stochastic modeling. Labs/Teams: Involved in interdisciplinary teams addressing optimization challenges in healthcare, logistics, and service systems through his academic and industry roles.

Gregory Ramseyمشاهده پروفایل

دانشیار

• Data Analytics
• Supply Chain Digitalization
• Modeling/Simulating Processes
• +۳ مورد دیگر

Dr. Gregory Ramsey is an Associate Professor in the Information Science & Systems Department at Morgan State University's Earl G. Graves School of Business and Management. He holds a Ph.D. in Business Administration from the University of Minnesota, an MBA from Carnegie Mellon, and advanced engineering degrees from Duke and Georgia Tech. His research focuses on data analytics, supply chain digitalization, process modeling/simulation, and process characterization. He teaches courses in systems analysis, computational thinking, computer literacy, and data analytics. Recent publications explore medical decision-making, patient churn prediction, chronic disease treatment strategies, and cross-selling through text mining. His work bridges healthcare informatics and business analytics. No scientific awards are explicitly noted in the provided text. Dr. Ramsey advises no listed students and has no disclosed grants. His office is located in GSBM 502.

Anurag Agarwalمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Business Operations
• +۶ مورد دیگر

Anurag Agarwal is a Professor and Program Coordinator in the Department of Information Systems, Analytics & Supply Chain at Florida Gulf Coast University (FGCU) Lutgert College of Business. He joined FGCU in 2019, having previously taught at Kent State University, University of Florida, and University of South Florida. He holds a Ph.D. in Management Information Systems from The Ohio State University, an MBA from the University of Wisconsin-Lacrosse, and a B.E. from IIT Roorkee, India. His research focuses on applying machine learning and metaheuristics to solve optimization problems in business operations, including neural networks, genetic algorithms, and scheduling algorithms. His teaching spans Information Systems, Big Data Analytics, Business Intelligence, programming languages, and project management. With over 40 peer-reviewed articles and 70+ conference presentations, his work appears in venues like the INFORMS Journal on Computing and European Journal of Operational Research. Agarwal serves on the editorial board of Enterprise Information Systems and is active in professional societies like INFORMS and the Production and Operations Management Society. His recent research includes studies on inmate misconduct prediction, cybersecurity for LEP populations, and O2O food delivery dynamics. He actively contributes to interdisciplinary areas like IoT, cyber hygiene, and supply chain optimization. Notable publications include foundational work on neurogenetic approaches for scheduling, metaheuristics in supply chain logistics, and predictive modeling frameworks. His work bridges theoretical methodologies with practical business applications across industries.

• Machine Learning
• Healthcare Systems
• Logistics and Supply Chain Management
• +۴ مورد دیگر

Assoc. Prof. Dr. Seda Yanık Özbay is an academic at Istanbul Technical University (ITU), affiliated with the Department of Industrial Engineering and the Department of Business Administration within the College of Engineering. She holds a PhD in Industrial Engineering from ITU and has extensive professional experience spanning academia and industry. Education: PhD in Industrial Engineering, Istanbul Technical University (2006–2011) Master’s in Engineering Management (Thesis), ITU (2002–2004) Bachelor’s in Industrial Engineering, ITU (1995–1999) Research Focus: Her work integrates machine learning, optimization, and decision science with applications in healthcare systems, sustainable logistics, transportation engineering, and educational technology. Notable areas include AI-driven disease diagnosis, supply chain optimization, and stakeholder-oriented decision frameworks for distance education. Recent publications emphasize ensemble methods in medical diagnostics and multi-criteria approaches to public transportation design. Articles Trends: Her 2020–2024 work showcases growth in AI applications (e.g., coronary disease prediction) and sustainability-focused solutions (e.g., micro-credentials in e-learning). Collaborations often bridge technical domains like neural networks with societal challenges in healthcare and education. Awards: No specific awards listed. Advising & Grants: While advising details are not explicitly stated, her publications reflect collaborative research with graduate students and industry partners. Research activities include grants related to logistics optimization and smart transportation systems. Labs/Teams: Engaged in interdisciplinary groups at ITU’s Industrial Engineering Department, focusing on operations research and applied AI solutions.

Tooska Dargahiمشاهده پروفایل

پژوهشگر ارشد

• Security and Privacy
• Wireless Sensor Networks
• Ad-Hoc Networks
• +۳ مورد دیگر

Tooska Dargahi serves as a Postdoctoral Researcher at Netgroup Laboratory, University of Rome Tor Vergata, with dual affiliation at CNIT (Consorzio Nazionale Interuniversitario per le Telecomunicazioni). Her work bridges theoretical cryptography with practical implementations for next-generation networked systems, focusing on security architectures for resource-constrained environments including IoT devices and mobile platforms. She maintains active collaborations with international researchers across multiple institutions on cutting-edge security challenges. Her research program centers on Security and Privacy, Wireless Sensor Networks, Ad-Hoc Networks, and Attribute-Based Cryptography. She pioneers lightweight cryptographic solutions for IoT and smartphone ecosystems, develops k-anonymous frameworks for location-based services, and advances forensic methodologies for cloud storage and mobile applications. Key contributions include optimizing attribute-based encryption for constrained devices and designing novel key pre-distribution schemes for wireless sensor networks. Analysis of her publication record reveals consistent focus on applying cryptographic primitives to real-world systems. Her work spans Software-Defined Networking security, IoT device hardening, cloud/mobile forensics, and privacy-preserving location services. A distinctive trend involves translating complex cryptographic concepts into deployable solutions for infrastructure-limited scenarios, evidenced by implementations tested on Android devices and IoT platforms. Scientific recognition includes: Best Paper Award at IEEE WiMob 2017 for WLAN access control research As a core member of Netgroup Lab, Dr. Dargahi contributes to collaborative projects in network security and privacy. While the provided materials indicate extensive co-authorship with senior researchers like Mauro Conti and Giuseppe Bianchi, they contain no explicit references to student advising or principal investigator roles in grant-funded projects.

Marie Mattissonمشاهده پروفایل

مدرس

• Nursing
• Telehealth
• Healthcare Communication
• +۳ مورد دیگر

Marie Mattisson is a Lecturer at Linköping University (LIU), affiliated with the Faculty of Medicine and the Department of Nursing and Reproductive Health (ORH). She also contributes to the Department of Health, Medicine and Care (HMV). Her research focuses on telephone nursing interactions, caller satisfaction, and heart failure management in primary care settings. She teaches in the Nursing Program and coordinates the District Nursing Program. Her research explores telehealth innovations, including remote monitoring technologies for cardiac patients, and evaluates communication strategies in telenursing. She has contributed to the development and validation of assessment tools like the Telenursing Interaction and Satisfaction Scale. Her work emphasizes improving patient care through optimized telehealth interactions and evidence-based nursing practices. Marie has published in journals such as the European Journal of Cardiovascular Nursing , Patient Education and Counseling , and Journal of Clinical Nursing . Her studies address both clinical and methodological aspects of telehealth, including timing analysis in nursing calls and cross-sectional surveys on satisfaction factors.